Balázs Mayer

3.7k citations
42 papers · 2.9k indexed · 1 hit paper · h-index 19
Topics
Glycosylation and Glycoproteins Research (8 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Mesenchymal stem cell research (8 papers)

In The Last Decade

Balázs Mayer

40 papers receiving 2.9k citations

Hit Papers

Bone marrow stromal cells attenuate sepsis via prostaglan...2008202620142020200850010001.5k

Peers

Balázs Mayer
Comparison fields: 5 of 107
  • Genetics 1.5k
  • Molecular Biology 868
  • Surgery 686
  • Immunology 651
  • Pulmonary and Respiratory Medicine 500
Replace Giselle Chamberlain with:
Giselle Chamberlain United Kingdom
Tomomitsu Hotta Japan
Alma J. Nauta Netherlands
Behrouz Nikbin Iran
Roberta Angeli Italy
Veronica Santarlasci Italy
Claudia Göttl Germany
Nicolás Ortonne France
Guangwu Xu United States
Flavio Carrión Chile
Balázs Mayer relative to Giselle Chamberlain United Kingdom Giselle Chamberlain's profile →
Citations per field
00.5×1.5×2.4×
Giselle Chamberlain · 1×
Citations per year

Countries citing papers authored by Balázs Mayer

Since Specialization
Citations

This map shows the geographic impact of Balázs Mayer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Balázs Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Mayer more than expected).

Fields of papers citing papers by Balázs Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Balázs Mayer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Balázs Mayer. The network helps show where Balázs Mayer may publish in the future.

Co-authorship network of co-authors of Balázs Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Mayer. A scholar is included among the top collaborators of Balázs Mayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Balázs Mayer. Balázs Mayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
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5 10
6 12
7 5
8 8
9 1
10 14
11 6
12 17
13 26
14 57
15
Bone marrow stromal cells attenuate sepsis via prostaglandin E2–dependent reprogramming of host macrophages to increase their interleukin-10 productionbreakdown →
1889
16 16
17 48
18 23
19 23
20 3

About Balázs Mayer

Balázs Mayer is a scholar working on Genetics, Small Animals and Immunology, having authored 42 papers that have together received 2.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Mesenchymal stem cell research (8 papers). The work is most often cited by research in Genetics (1.5k citations), Immunology (651 citations) and Rehabilitation (180 citations). Balázs Mayer has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include Krisztián Németh, Éva Mezey, Alissa Parmelee, Kent Doi, Ivett Jelinek, Peter S.T. Yuen, Beverly H. Koller, Xuzhen Hu, Pamela Gehron Robey and Jared M. Brown. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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